Evidence map›Paper›PMID 20369248›Full record

ArticleInternational journal of legal medicine2011

A new atlas for the evaluation of facial features: advantages, limits, and applicability.

Stefanie Ritz-Timme, Peter Gabriel, Zuzana Obertovà, Melanie Boguslawski, F Mayer, A Drabik, Pasquale Poppa, Danilo De Angelis, Romina Ciaffi, Benedetta Zanotti and 2 more

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Article in International journal of legal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Stefanie Ritz-TimmeInstitut für Rechtsmedizin des Universitätskinikums, University of Düsseldorf, Moorenstraße 5, Dusseldorf, Germany.
Peter Gabriel
Zuzana Obertovà
Melanie Boguslawski
F Mayer
A Drabik
Pasquale Poppa
Danilo De Angelis
Romina Ciaffi
Benedetta Zanotti
Daniele Gibelli
Cristina Cattaneo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods for the verification of the identity of offenders in cases involving video-surveillance images in criminal investigation events are currently under scrutiny by several forensic experts around the globe. The anthroposcopic, or morphological, approach based on facial features is the most frequently used by international forensic experts. However, a specific set of applicable features has not yet been agreed on by the experts. Furthermore, population frequencies of such features have not been recorded, and only few validation tests have been published. To combat and prevent crime in Europe, the European Commission funded an extensive research project dedicated to the optimization of methods for facial identification of persons on photographs. Within this research project, standardized photographs of 900 males between 20 and 31 years of age from Germany, Italy, and Lithuania were acquired. Based on these photographs, 43 facial features were described and evaluated in detail. These efforts led to the development of a new model of a morphologic atlas, called DMV atlas ("Düsseldorf Milan Vilnius," from the participating cities). This study is the first attempt at verifying the feasibility of this atlas as a preliminary step to personal identification by exploring the intra- and interobserver error. The analysis yielded mismatch percentages from 19% to 39%, which reflect the subjectivity of the approach and suggest caution in verifying personal identity only from the classification of facial features. Nonetheless, the use of the atlas leads to a significant improvement of consistency in the evaluation.

Indexed as

Atlases as TopicCriminologyAdultFaceForensic AnthropologyGermanyHumansItalyLithuaniaMaleObserver VariationYoung Adult

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.